微分積分:Calculus Anomaly and Change Detection Technologies
An overview of various machine learning techniques for anomaly and change detection used in digital transformation and artificial intelligence tasks
最適化:Optimization
微分積分:Calculus 最適化:Optimization Protected: Anomaly detection by T2 method for hoteling-Mahalanobis distance and chi-square distribution
Anomaly and change detection using the T2 method (Mahalanobis distance) of hoteling used in digital transformation and artificial intelligence tasks.
最適化:Optimization Protected: Basic concept of anomaly and change detection – Neyman-Pearson Decision Rule
An Introduction to Machine Learning for Anomaly and Change Detection Used in Digital Transformation and Artificial Intelligence Tasks
微分積分:Calculus Machine Learning Professional Series: Topic Models Post-Reading Notes
Topic models using probability generation models to extract sentence topics to be used in digital transformation (DX) and artificial intelligence (AI) tasks.
python Protected: Generative Deep Learning with Python and Keras (1) Text generation using LSTM
Text-generating DNN using LSTM with python/keras for digital transformation and artificial intelligence tasks
python Protected: Advanced deep learning with Python and Keras (3) Model optimization methods
Optimizing networks for deep learning with python/keras for digital transformation and artificial intelligence tasks
python Protected: Advanced deep learning with Python and Keras (2) Model monitoring using Keras callbacks and TensorBord
Monitoring of networks in deep learning process using pyton/keras for digital transformation and artificial intelligence tasks (monitoring of models using Keras callbacks and TensorBord)
微分積分:Calculus This is a good introduction to deep learning (Machine Learning Startup Series)Reading Notes
Overview of deep learning for digital transformation and artificial intelligence tasks, including machine learning, gradient descent, regularization, error back propagation, self-encoders, convolutional neural networks, recurrent neural networks, Boltzmann machines, and reinforcement learning.
python Protected: Advanced deep learning with Python and Keras (1) Complex networks using the Keras Functional API
Construction of complex network models using Keras functional API with python/keras for digital transformation and artificial intelligence tasks (for multimodal problems, etc.)
python Protected: DNNs for text and sequences with python and Keras (4) Sequence processing with bidirectional RNNs and CNNs
Bidirectional RNN and CNN application to sequence data in python/keras for digital transformation and artificial intelligencetasks.